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A probabilistic perceptron learning algorithm

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題名: A probabilistic perceptron learning algorithm 作者: T. P. Hong;S. S. Tseng

貢獻者: Department of Information Science and Applications

關鍵詞: connectionist model;linearly separable;perceptron;probabilistic perceptron learning;weight vector

日期: 1992

上傳時間: 2009-11-30T08:03:06Z 出版者: Asia University

摘要: A probabilistic perceptron learning algorithm has been proposed here to reduce the computation time of learning. The proposed algorithm is easily programmed and can drastically decrease the time complexity of learning at the expense of only a little accuracy. Experimental results also show this trade-off being worthwhile. Our proposed probabilistic perceptron learning algorithm thus has practical use, especially when the requirement of computational time is critical

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